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Personalized Driver Workload Estimation in Real-World Driving
Subway Obstacle Detection System Based on Multi-sensor Data Fusion
Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning
Sensitivity Analysis of Reinforcement Learning-Based Hybrid Electric Vehicle Powertrain Control
A Forward Collision Warning System Using Deep Reinforcement Learning
“Ease of Driving” Road Classification for Night-time Driving Conditions
Research on Subjective Rating Prediction Method for Ride Comfort with Learning
A Hybrid System and Method for Estimating State of Charge of a Battery
Development of a Camera-Based Driver State Monitoring System for Cost-Effective Embedded Solution
Method and System for Creating Digital Twin of a Sensor for a Vehicle in Real Time
Adjoint-Based Model Tuning and Machine Learning Strategy for Turbulence Model Improvement
Vehicle Following Hybrid Control Algorithm Based on DRL and PID in Intelligent Network Environment
A Crack Detection Method for Self-Piercing Riveting Button Images through Machine Learning
Machine Learning for Fuel Property Predictions: A Multi-Task and Transfer Learning Approach